Abstract
Timely availability of expert support to the farmers for appropriate decision-making on 'whether and what pest management option is required' is imperative for effective Integrated Pest Management (IPM). For several decades Economic Threshold Level (ETL) has been the basis for decision-making but in modern IPM emphasis is given on agro-ecological situation wherein IPM decisions are based on large range of pest relevant information such as crop health, natural enemies, weather etc. beside pest incidence scientifically obtained through farmers' field scouting. But large farming community in India can rather obtain the tentative information of this kind, consisting uncertainties. Bayesian Network (BN), anartificial intelligence approach could help in developing technique/model to deal with tentative pest relevant information which can be used in field scouting based IPM Decision Support Systems (DSSs) to automate the process of advising appropriate pest management option to the farmers on the basis of tentative agro-ecological situation of their fields.
Highlights
Excessive, injudicious and irrational use of chemical pesticide by the farmers for pest control causes significant damage to the environment, human health and negatively impacts the crop production
For several decades Economic Threshold Level (ETL) has been the basis for Integrated Pest Management (IPM) decision-making but in modern IPM emphasis is being given on field agroecological situation where pest management decisions are based on larger range of field observations such as crop health, natural enemies’ population, and weather etc. beside pest information
There are no Decision Support Systems (DSSs) to provide decision support to the farmers on ‘weather and what pest management option is required’ on the basis of farmer’s field agro-ecological situation neither there are techniques which can be used in these DSSs for selecting appropriate pest management option on the basis of tentative agro-ecological information obtained by the farmers
Summary
Injudicious and irrational use of chemical pesticide by the farmers for pest control causes significant damage to the environment, human health and negatively impacts the crop production. Some initiatives have been taken to provide ETL based decision support to the farmers on ‘weather and what pest management option is required’ which. There are no DSSs to provide decision support to the farmers on ‘weather and what pest management option is required’ on the basis of farmer’s field agro-ecological situation neither there are techniques which can be used in these DSSs for selecting appropriate pest management option on the basis of tentative agro-ecological information obtained by the farmers. Bayesian Network is widely used in ecological decision-making could be the suitable approach to develop expert technique/model for selecting appropriate pest management option on the basis of tentative agro-ecological information obtained from farmer fields. The technique developed can be used in field scouting based DSSs to automate the process of providing field agro-ecological situation based pest management advisories to the farmers
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